An astronaut overseeing a futuristic data hub

Connect AppFollow to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Know exactly how your app performs in the market.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 8 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 8 available through AppFollow.

  1. 01

    Get app info

    Retrieve basic information about an app from AppFollow

  2. 02

    Get reviews AI summary

    Get an AI-generated summary of recent user reviews

  3. 03

    Get account check

    Verify AppFollow account connection

  4. 04

    Get rankings

    Track app rankings in store charts

Capability set02 / 02

05-08

4 capabilities in this set.

Part of 8 available through AppFollow.

  1. 05

    Get ratings

    Get current star rating distribution

  2. 06

    Get ratings history

    Get historical rating data over a period of time

  3. 07

    Get reviews summary

    Get a summary of reviews and average rating

  4. 08

    List reviews

    List app reviews for a specific app store product

Real work

What teams actually run

01

Post-Update Review

After releasing a new version, run a review summary to see if users are reporting new bugs or if the overall sentiment has shifted.

02

Competitor Analysis

Compare your app's current rating and ranking against a key competitor to identify areas where you need to improve.

03

Feature Prioritization

Use the AI summary capability to aggregate thousands of reviews and pull out the top three requested features from your user base.

04

Market Health Check

Check historical rating data to determine if your app's rating drop was sudden or if it's been a gradual decline over the last quarter.

Automate a task

Put AppFollow to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

AppFollow works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put AppFollow to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

858ms average. Fast in production.

AppFollow is checked daily against the live service.

Daily averagePeak 1014ms
Oct 3Today
Fastest day
703ms
Slowest day
1014ms
14-day trend
Improving-10%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 8 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of AppFollow, so you can see the experience inside your AI.

It does not authenticate your account with AppFollow. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AppFollow Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_XuFdPgnFKQbqH03qFIWIm45p4exhDPZHXXF0BeYC/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — AppFollow capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "appfollow-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_XuFdPgnFKQbqH03qFIWIm45p4exhDPZHXXF0BeYC/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up AppFollow in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AppFollow owners hand off.

This MCP is essential for teams that rely on user feedback and market visibility. Product Managers use it to prioritize features, Marketing teams use it to measure ASO effectiveness, and Customer Support uses it to quickly identify common user issues.

  • 01

    Product Manager

    Uses AI summaries to understand user sentiment and prioritize feature requests for the next build.

  • 02

    Growth & Marketing

    Tracks rankings and ratings to measure the effectiveness of app store optimization (ASO) and user acquisition (UA) efforts.

  • 03

    Customer Support

    Quickly identifies common user issues and bugs reported repeatedly in the review data.

FAQ

Questions AppFollow owners ask.

  • 01

    Does this MCP cover all major app stores?

    Yes, the AppFollow MCP is designed to monitor and analyze user feedback and performance across all major app stores.

  • 02

    Can I compare my app to competitors?

    You can use the MCP to compare your app's performance against competitors using global store data, helping you benchmark your product.

  • 03

    What kind of data can I get from the reviews?

    You can list specific reviews, get a general summary, or use the AI summary capability to analyze sentiment and find common user complaints.

  • 04

    Is this just for tracking rankings?

    No, it's much broader. You can also track historical rating trends, retrieve app metadata, and analyze user feedback to improve your product.

  • 05

    Do I need to worry about API limits?

    Vinkius hosts and manages the connection, handling the underlying API calls so you don't have to worry about rate limits or authentication complexity.

  • 06

    How do I find my AppFollow API Token?

    You can find your API token in your AppFollow account settings under the API or Integrations section.

  • 07

    What is an 'extId' in AppFollow?

    The extId is the external ID of the app in the store. For iOS apps, it's the numeric Apple ID. For Google Play apps, it's the bundle name (e.g., com.example.app).

  • 08

    Does this integration support semantic tags?

    Yes, you can use the get_reviews_semantic capability to retrieve reviews categorized by their content type, such as 'Bug', 'Feature Request', or 'Pricing'.

Connect AppFollow to Claude, Cursor, ChatGPT & more